AI Governance
Articles tagged with "AI Governance"
- The Universal Interface Thesis Code generation isn't just for knowledge work. It's the architecture for human interaction with any control surface—shop floors, building systems, medical devices, enterprise software. The implications restructure how we think about training, expertise, and vendor lock-in. January 2, 2026
- The Return of the Assistant The DIY knowledge worker made sense for forty years. AI assistants offer something better: the freedom of DIY with the leverage of delegation. January 1, 2026
- Ontology Generation When the AI tool is the universal interface, comprehensive logs reveal both what the organization does and what concepts it uses. Structure and procedure emerge together. June 30, 2025
- Automating Expertise Gets Easier and Easier As agentic AI lowers the barriers, more expertise becomes software. What faces pressure, what remains, and where value moves. June 30, 2025
- Agentic AI as Universal Interface Software is distilled expertise. Two barriers have prevented most expertise from becoming software: coding skill and system access knowledge. Agentic AI removes both. June 30, 2025
- Executable Knowledge Architecture A framework for integrating AI into professional practice that preserves expertise, ensures reproducibility, and closes the governance gap between AI capabilities and organizational needs. January 7, 2025
- What Benchmarks Aren't Measuring GDPval and similar benchmarks test well-specified problems with verifiable answers. They don't—can't—test the ambiguous, contested, judgment-intensive work where professional expertise commands premiums. The measurement gap is structural, not temporary. December 31, 2024
- Capability Governance: A Framework for Generated Artifacts A framework for governing generated artifacts through defensibility. Two routes: exposed methodology or empirical track record. Obligations for producers, consumers, underwriters, and regulators. December 27, 2024
- The Strong Oracle Trap Thorough AI dialogue feels like it solves the verification problem. It doesn't. Understanding why requires seeing oracle pattern as a spectrum, and recognizing what tools can and cannot fix. November 26, 2024
- AI as Oracle vs. Assistant: Two Patterns of Deployment The fundamental choice in how you use AI determines whether you can govern it. Oracle pattern creates verification problems. Assistant pattern solves them. November 5, 2024
- Stochastic in Form, Deterministic in Function 700 iterations across seven models. 25% accuracy asking directly. 100% accuracy asking for code. The gap tells you everything about how to use these tools. November 1, 2024
- AI-First Software: Engineering the Post-Interface Era Generative AI has solved language. That's enough to change software design—not in the future, but right now. April 4, 2024
- Evaluating AI Table Extraction: Claude vs Docling vs ScaleDP A practical comparison of three table extraction approaches reveals surprising accuracy gaps that practitioners need to understand before selecting tools for document processing at scale. February 20, 2024
- Parrots Are All You Need Why generative AI will introduce greater change, faster, than the Internet itself—and what that means for knowledge workers. January 15, 2023
- EKA in Practice The framework is no longer theoretical. Here's what we learned when we deployed it. January 1, 0001